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72 lines
1.4 KiB
Python
72 lines
1.4 KiB
Python
import cfig
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config = cfig.Configuration()
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@config.optional()
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def MONGO_HOST(val: str | None) -> str:
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"""
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The hostname of the MongoDB database to connect to.
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Defaults to `"127.0.0.1"`.
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"""
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return val or "127.0.0.1"
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@config.optional()
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def MONGO_PORT(val: str | None) -> int:
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"""
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The port of the MongoDB database to connect to.
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Defaults to `27017`.
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"""
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if val is None:
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return 27017
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def WORKING_SET_SIZE(val: str | None) -> int:
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"""
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The number of reviews to consider from the database.
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Set this to a low number to prevent slowness due to the dataset's huge size.
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Defaults to `10000`.
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"""
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if val is None:
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return 10000
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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@config.optional()
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def DATA_SET_SIZE(val: str | None) -> int:
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"""
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The number of reviews from each category to fetch for the datasets.
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Defaults to `1000`.
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"""
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if val is None:
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return 1000
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try:
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return int(val)
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except ValueError:
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raise cfig.InvalidValueError("Not an int.")
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__all__ = (
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"config",
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"MONGO_HOST",
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"MONGO_PORT",
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"WORKING_SET_SIZE",
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"DATA_SET_SIZE",
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)
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if __name__ == "__main__":
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config.cli()
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